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Record W3041012391 · doi:10.1080/23311932.2020.1783176

Synergistic effect of gamma irradiation and proper packaging for the control of insects in smoked shrimps (Penaeus notialis) from three different water bodies in Ghana

2020· article· en· W3041012391 on OpenAlexaboutno aff
Felicia Akuamoa, George Tawia Odamtten, Nii Korley Kortei

Bibliographic record

VenueCogent Food & Agriculture · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsFisheryGamma irradiationFood scienceToxicologyShrimpPenaeusBiologyIrradiationAnimal science

Abstract

fetched live from OpenAlex

Damage caused to stored dried shrimps by insect pests is problematic and are often underestimated. The incubation, identification, and control of these insect pests which infest shrimps from three water sources; sea, lagoon, and river were evaluated according to standard procedures of the Entomological Society of Canada. Exposure to gamma ionizing radiation was undertaken from a Cobalt 60 source (SL 515, Hungary) and radiation doses of 0, 4, 8, and 10 kGy at a rate of 1.7 kGy/hr were used. The hidden insects identified were Necrobia rufipes (Copra beetle), Dermestes maculatus De Geer (Hide beetle), and a mite Lardoglyphus sp. belonging to the family Acaridae in the mite group Astigmata. An after-feeding test on shrimps by insects revealed a weight reduction by 17%, 14%, and 26% for sea, lagoon, and riverine shrimps respectively. These observations were statistically significant at p ≤ 0.05 level. After 2 months of storage there was generally a 43.0 % reduction in weight which was significantly different (p ≤ 0.05) from the initial weight. Moisture sorption isotherms of dehydrated shrimps were also checked at 20, 55, 65, 75, 85, and 95% of Effective Relative Humidity (EHR) and revealed a general trend of sigmoid shape. The prescribed dose of 8–10 kGy was able to kill all insects and rendered the product insect-free in airtight dense polypropylene containers used in these investigations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.800
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.188
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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